Factors affecting the accident risk of motorcyclists were investigated using a questionnaire developed from pilot research. This investigated riding behaviour, accident rate (including minor spills), age, mileage and experience. 11,360 questionnaires were returned, representing a 40% response rate. Errors, lapses and mistakes accounted for 10.3% of the variance, speed violations accounted for 9.4%, extreme risk taking accounted for 8.1%, use of safety equipment for 7.5%, and control errors for 5.9%. MANOVA analyses indicated that lower age and less experience were predictors of accidents. Accident exposure increased the likelihood of using safety equipment as did high mileages. A logistic regression model predicting the likelihood of involvement in a blame accident is described. Errors, rather than violations, were important predictors of blame accident involvement among respondents. The adoption of safer riding behaviours and better training were recommended.

  • Corporate Authors:


    Crowthorne House, Nine Mile Ride
    Wokingham, Berkshire  United Kingdom  RG40 3GA
  • Authors:
    • ELLIOTT, M A
    • Sexton, B
    • KEATING, S
  • Publication Date: 2003


  • English

Media Info

  • Features: References;
  • Pagination: 14 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00962647
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Sep 3 2003 12:00AM